PAD - LGED

Annex 7: The Selection Methodology for the Investments Component
Bangladesh: Second Rural Transport Improvement Project (P123828)
1. This annex describes the selection methodology for investments under the following
components: (i) RPM; (ii) UZR and UNR improvement; (iii) ghats improvement; and (iv) GCMs
improvement. A multi-criteria methodology including physical and socio-economic indicators
was applied to all the components.
(i) RPM Component
2. The methodology described below aims to present the main criteria to prioritize the key
roads in “maintainable condition” that will be selected for the RPM component under the project
(about 3,550 km) and within it, those that are a priority for First Year (about 1,000km).
3. The 2011 LGED Rural Infrastructure Maintenance Management Unit (RIMMU) Road
Inventory for the 26 project districts has been used as the data-base to select the roads for the
RPM component. The inventory has complete information for about 21,400 km of roads (3,128
roads).
4. The following criteria were applied to identify the priority roads for the RPM component:
- Roads should be in rural areas
- Roads are suitable for Road Maintenance or Rehabilitation:
o Whole length of road surface is BC or concrete;
o Roads do not have cross-drainage gaps along the road alignment; and
o IRI: Roads have IRI higher than six and lower than 13
- Minimum length: All UZR should be more than five km long and all UNR should be
more than 3km long.
- Minimum carriageway width: UZR should have a carriageway width of more than 3m
and all UNR should have a carriageway width of more than 2.75m.
- Traffic volume: All roads with AADT higher than 4,000 and/or CVD higher than 1,000
were excluded and roads with and AADT> 800 and a CVD more than 100 were given
priority.
5. This process of applying these selection criteria for the RPM component reduces the
21,400 km of roads (3,128 roads) in the inventory to a long-list of 3,804 km (451 roads).
Prioritization of Roads for First Year
6. Since a maximum of 1,000km of roads can be included in the first year, an indicative
number of km of roads were identified to be targeted for each of the 26 districts based on a score
formed by three equally weighted factors:
(i) Population (the district with the highest population was given a score of one
and the other districts were score pro-rata);
(ii) Poverty (the district with the highest percentage of poor people was given a
score of one. The district with the highest percentage of people living in extreme
poverty was also given a score of one. The other districts were given score pro-rata.
The simple average of both score was then computed); and
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